Evidence map›Paper›PMID 27154208›Full record

ArticleEnvironmental science & technology2016

Effect of Surface Sampling and Recovery of Viruses and Non-Spore-Forming Bacteria on a Quantitative Microbial Risk Assessment Model for Fomites.

Mark H Weir, Tomoyuki Shibata, Yoshifumi Masago, Dena L Cologgi, Joan B Rose

Abstract read
In one paragraph

Article in Environmental science & technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. An Advanced Tape-Stripping Approach for High-Efficiency Sampling on Non-Absorbent Surfaces.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Recovery of Infectious Human Norovirus GII.4 Sydney From FomitesFrontiers in cellular and infection microbiology · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Swab Sampling Method for the Detection of Human Norovirus on Surfaces.Journal of visualized experiments : JoVE · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mark H WeirDepartments of Epidemiology and Biostatistics and Civil and Environmental Engineering, Temple University , 1301 Cecil B. Moore Avenue, Ritter Annex, 9th Floor, Philadelphia, Pennsylvania 19122, United States.
Tomoyuki ShibataPublic Health Program, Northern Illinois University , DeKalb, Illinois 60115, United States.
Yoshifumi MasagoUnited Nations University , Tokyo 150-8925, Japan.
Dena L CologgiDepartment of Microbiology and Molecular Genetics, Michigan State University , East Lansing, Michigan 48823, United States.
Joan B RoseDepartment of Fisheries and Wildlife, Michigan State University , East Lansing, Michigan 48824, United States.

Funding

QMRA III - Quantitative Microbial Risk Assessment Interdisciplinary InstructionalR25GM108593 · NIGMS · MICHIGAN STATE UNIVERSITY · PI MITCHELL, JADE, WEIR, MARK HOWARD · 2014 to 2018
$792k
NIGMS NIH HHS R25 GM108593
6 · The paper itself

Abstract

Quantitative microbial risk assessment (QMRA) is a powerful decision analytics tool, yet it faces challenges when modeling health risks for the indoor environment. One limitation is uncertainty in fomite recovery for evaluating the efficiency of decontamination. Addressing this data gap has become more important as a result of response and recovery from a potential malicious pathogen release. To develop more accurate QMRA models, recovery efficiency from non-porous fomites (aluminum, ceramic, glass, plastic, steel, and wood laminate) was investigated. Fomite material, surface area (10, 100, and 900 cm(2)), recovery tool (swabs and wipes), initial concentration on the fomites and eluent (polysorbate 80, trypticase soy broth, and beef extract) were evaluated in this research. Recovery was shown to be optimized using polysorbate 80, sampling with wipes, and sampling a surface area of 10-100 cm(2). The QMRA model demonstrated, through a relative risk comparison, the need for recovery efficiency to be used in these models to prevent underestimated risks.

Indexed as

FomitesVirusesBacteriaHumansRisk AssessmentSpecimen Handling

Identifiers

PMID27154208
PMCPMC7236659

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.